Slideshare uses cookies to improve functionality and performance, and to provide you with relevant advertising. If you continue browsing the site, you agree to the use of cookies on this website. See our User Agreement and Privacy Policy.

Slideshare uses cookies to improve functionality and performance, and to provide you with relevant advertising. If you continue browsing the site, you agree to the use of cookies on this website. See our Privacy Policy and User Agreement for details.

15.
Credibility Modeling
15
Feature set Features (45)
Tweet meta-data
Number of seconds since the tweet; Source of tweet (mobile / web/
etc); Tweet contains geo-coordinates
Tweet content (simple)
Number of characters; Number of words; Number of URLs; Number of
hashtags; Number of unique characters; Presence of stock symbol;
Presence of happy smiley; Presence of sad smiley; Tweet contains
`via'; Presence of colon symbol
Tweet content (linguistic)
Presence of swear words; Presence of negative emotion words;
Presence of positive emotion words; Presence of pronouns; Mention
of self words in tweet (I; my; mine)
Tweet author Number of followers; friends; time since the user if on Twitter; etc.
Tweet network
Number of retweets; Number of mentions; Tweet is a reply; Tweet is a
retweet
Tweet links WOT score for the URL; Ratio of likes / dislikes for a YouTube video

47.
Takeaways
 Social Media is a powerful tool
 Business / Government can use the analysis
to their benefits
 You should use it for your benefits J
-You tried doing analysis on your accounts?
 Lots of challenges and opportunities!
 Will be happy to interact more, if needed
47